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The application of six different models to estimate the genetic parameters, variancecomponents and breeding values for birth weight of Holstein calves      
Yazarlar
 Aziz ŞAHİN Aziz ŞAHİN
Ahi Evran Üniversitesi, Türkiye
Zafer Ulutaş
Niğde Ömer Halisdemir Üniversitesi, Türkiye
Dr. Öğr. Üyesi Emre UĞURLUTEPE Dr. Öğr. Üyesi Emre UĞURLUTEPE
Ahi Evran Üniversitesi, Türkiye
Özet
This research was conducted to determine variance component, genetic parameters and breeding values (EBV) for the birth weight (BW) of Holstein calves. In this context, the direct genetic (σ2a), maternal genetic (σ2m) and maternal permanent environmental effects, which affect BW, were separately assessed. The multi-trait, derivative-free restricted maximum likelihood programme was used for determining the effect of the genetic parameters by using models that either included or excluded the maternal genetic and/or permanent maternal environmental effects. The estimation of the BW of Holstein calves was optimized by evaluating six different models. The best model was chosen according to the log-likelihood ratio tests. Within the context of the study, a total of 4443 calves were investigated between 1987 and 2006. Among the six different models, model 4 was selected as the best model, since it had the lowest value for the likelihood ratio. The range of the values for direct heritability (h2d) and maternal heritability (m2) were between 0.07–0.13 and 0.04–0.09, respectively. In conclusion, an estimation of the genetic parameters for BW can be used as a selection criteria for Holstein calves.
Anahtar Kelimeler
Breeding value | Direct genetic | Genetic parameters | Maternal genetic | Variance component
Makale Türü Özgün Makale
Makale Alt Türü SSCI, AHCI, SCI, SCI-Exp dergilerinde yayımlanan tam makale
Dergi Adı Journal of Applied Animal Research
Dergi ISSN 0971-2119
Dergi Tarandığı Indeksler SCI-Expanded
Dergi Grubu Q4
Makale Dili İngilizce
Basım Tarihi 01-2017
Cilt No 45
Sayı 1
Sayfalar 598 / 602
Doi Numarası 10.1080/09712119.2016.1239581
Makale Linki http://dx.doi.org/10.1080/09712119.2016.1239581